Intrusion and Intrusion Detection: Intrusion detection refers to the process of monitoring a computer system or network for unauthorized access, malicious activities, or security breaches. It involves the use of various techniques and technologies to identify and respond to potential threats.
Intrusion Detection in Database Systems: Intrusion detection in database systems focuses on protecting sensitive data stored in databases. It involves monitoring database activities, user access patterns, and query behavior to identify any suspicious or unauthorized activities.
Data Mining Approach: A data mining approach to intrusion detection in databases involves the use of machine learning and data analysis techniques to uncover patterns of behavior that may indicate malicious activities. By analyzing large datasets, data mining can help detect anomalies and potential threats.
Intrusion Detection in Real-time Database Systems: Real-time database systems require continuous monitoring and immediate response to security threats. Intrusion detection in such systems aims to quickly identify and mitigate any unauthorized access or malicious activities to prevent data breaches.
Misuse Detection System for Database Systems: Misuse detection systems are designed to recognize known attack patterns or signatures in database activities. They compare user actions and queries against a predefined set of malicious patterns to identify and respond to potential threats.
Recovery from Malicious Transactions: When malicious transactions are detected in a database system, it's crucial to have a recovery plan in place. This involves restoring the database to a secure state, eliminating the impact of malicious activity, and preserving data integrity.
Malicious Activity Recovery Transaction (MART): MART is a technique used in database systems to develop recovery mechanisms specifically tailored to address the consequences of malicious activities. It helps isolate and mitigate the effects of an intrusion, ensuring data consistency and system reliability.
Repair using Transaction Dependency Graph: Transaction dependency graphs are used to visualize and understand the relationships between database transactions. In the context of intrusion detection, they can be used to identify which transactions were affected by an intrusion and facilitate the process of repairing and restoring the database to a secure state.